Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Güler, Ömer(15)
- Utku, Anıl(11)
- Tekin, H.O.(10)
- Zengin, Gokhan(10)
- ALMisned, Ghada(8)
- Güler, Seval Hale(8)
- Serdar, Osman(8)
- Artuğer, Fırat(7)
- Gul, Muhammet(7)
- Paksoy, Mehmet Yavuz(7)
- Unal, Ilkay(7)
- Alataş, Mevlüt(6)
- Aydogdu, Burcu(6)
- Demirbağ, Abdulsamet(6)
- Guler, Omer(6)
- Karaduman, Oktay(6)
- Taşgın, Yahya(6)
- Yucesan, Melih(6)
- Şentürk, Gamze(6)
- Akkurt, Nevzat(5)
- Demirelli, Kadir(5)
- Kavaz, E.(5)
- Kök, Mediha(5)
- Mahmat, Aybars(5)
- Uba, Abdullahi Ibrahim(5)
- Özkul, İskender(5)
- Alkarrani, Hessa(4)
- Barım, Esra(4)
- Batan, Nevzat(4)
- Canbay, Canan Aksu(4)
- Danabas, Durali(4)
- Doğan, Gürkan(4)
- Ergen, Burhan(4)
- Eriani, Kartini(4)
- Fadli, Nur(4)
- Guler, Seval Hale(4)
- Ince, Muharrem(4)
- Kanca, M. Sait(4)
- Kanca, Muhammed Sait(4)
- Karakose, Mehmet(4)
Yayınlar
- MakaleAçık Erişim2024Scopus SJRQ3Effects of vibration conditions on machinability of aisi 52100 bearing steel
Agar, Salih; Tosun, Nihat; Mahmat, Aybars
This study focused on determining the effects of the cooling condition in the conventional and ultrasonic-assisted turning of AISI 52100 steel. AISI 52100 steel has been widely used in the bearing, mold, and automotive industries because of its superior wear resistance and mechanical properties. However, its high wear resistance caused poor machinability in conventional machining methods. Low surface quality, rapid tool wear, high cutting temperature, and high cutting force are the main difficulties in the conventional machining of AISI 52100 steel. On the other hand, ultrasonic-assisted machining has become widely used in the past decades for the machining of materials that have low machinability in conventional methods. Conventional turning and ultrasonic-assisted turning were selected as machining methods. Ultrasonic-assisted turning experiments were conducted under 20 and 30 kHz vibration frequencies. Cubic Boron Nitride (CBN) cutting tools were used in machining experiments. In machining operations 50, 100, and 150 m/min cutting speeds were selected, and feed rate (0.1 mm/rev) and depth of cut (0.5 mm) were kept constant in experiments. Minimum quantity lubrication technique which used 1% Al2O3 nanoparticle additives cutting fluid and dry cooling methods were used. CBN insert was used as a cutting tool. The effects of cutting speed, cutting method, and cooling condition on surface quality, cutting force, cutting zone temperature, and cutting tool wear were studied experimentally. Analysis of Variance (ANOVA) was carried out to determine the significance of the effects of input variables on process outputs. As a result of this study, it is determined that combined UAT and nanoMQL have significant effects on the process outputs.
AtıfScopus3WoS3OpenAlex3
İncele - MakaleAçık Erişim2024Scopus SJRQ2Fabrication of CuAlVMg High-Temperature Shape Memory Alloy Containing Low-Soluble Vanadium Addition
Karaduman, Oktay; Boyrazli, Mustafa; Canbay, Canan Aksu; Özkul, İskender; Çelik, Emrah; Başbağ, Güneş
For the first time, CuAlVMg high-temperature shape memory alloy (HTSMA) with unprecedented alloy composition and with extended solubility of vanadium element was fabricated as-cast ingot by arc melting method, then homogenization of the alloy in high β-phase temperature region and quenching in iced-brine water were performed, respectively. The characteristic forward martensite to austenite martensitic transformation (MT) temperatures were detected at around 390 °C, which put the novel alloy in the category of HTSMAs. The thermal response of the alloy at high-temperatures was observed by DTA test as coherent with usual Cu-based HTSMAs. The residual sub-eutectoid precipitations emerging at around 500 °C hindered the direct martensitic transformation. The martensite structure of the alloy was revealed by XRD, SEM and optical microscopy tests.
- MakaleYalnız künye2024Scopus SJRQ1A stratified Bayesian decision-making model for occupational risk assessment of production facilities
Gul, Muhammet; Yucesan, Melih; Karci, Coskun
In the production industry, harmony and good management of the workplace environment, production machinery/vehicles, and workers are necessary to carry out production by occupational health and safety (OHS) principles. Therefore, occupational risk assessment (ORA) is crucial for manufacturing-based industries. When deciding on the prioritization of risks in ORA, adding to the analysis “how the parameters defining the risk changes in possible different states in the future” positively affects the soundness of decision-making. Therefore, this study aims to develop a unique ORA model handling future changes in the importance levels of risk parameters in the risk assessment process. To this aim, the concept of stratification and the best-worst method (BWM) are used together to determine the importance weights of the risk parameters in the ORA. In addition, the Bayesian version of BWM considers more than one expert's evaluations without losing information. In a nutshell, an approach called stratified Bayesian BWM (SBBWM) that can be used for further studies has been introduced to the literature. The technique determines the priority scores of each hazard by technique for order preference by similarity to the ideal solution sorting (TOPSIS-Sort) method. Thus, while determining each hazard's priority score and order, the class of this risk has also been determined. The proposed approach evaluated thirty-six risks encountered in manufacturing, storage, handling, and laboratory processes of a flour production facility. Control measures to be taken for each risk were also determined. Methodologically, various scenario analyses and sensitivity studies were conducted to reveal how the results changed in different conditions. The proposed approach provides a more comprehensive procedure for production facilities than traditional methods and avoids the deficiencies of traditional methods.
AtıfScopus18WoS16OpenAlex18İncele - MakaleYalnız künye2024Scopus SJRQ1A closer-look on W and Pb alloys: In-depth evaluation in elastic modulus, gamma-ray, and neutron attenuation for critical applications
ALMisned, Ghada; Susoy, Gulfem; Sen Baykal, Duygu; Alkarrani, Hessa; Güler, Ömer; Tekin, H.O.
This investigation assesses the gamma-ray and neutron attenuation properties of various alloys, including Pb90Cu10, A5, Manganin-R, Cu0.2Ag0.8, SA4, and W-based, to uncover efficient and cost-effective radiation shielding materials. Our study centers on alloys featuring elements such as lead, molybdenum, silver, and tungsten, selected for their unique protective qualities against radiation. Employing computational methods to evaluate critical parameters like mass attenuation coefficients, half-value layers, linear attenuation coefficients, and effective atomic numbers, transmission factor, we found the W-based alloy to exhibit exceptional shielding properties, primarily due to its tungsten content. Interestingly, this alloy also demonstrated the highest elastic modulus among the samples studied, indicating a potential synergy between an alloy's mechanical strength and its radiation shielding effectiveness. It can be concluded that alloys with higher elastic moduli not only offer better resistance to radiation-induced deformations, enhancing shielding, but also underscore the need for further research on alloys that balance performance, affordability, and environmental impact. The findings underscore the dual importance of composition and mechanical properties in advancing radiological safety and suggest continued investigation into the sustainability and practicality of effective shielding materials.
AtıfScopus28OpenAlex31İncele - MakaleAçık Erişim2024Scopus SJRQ1The Mediating Effect of Experiential Avoidance on the relationship between psychological resilience and psychological needs in the COVID-19 pandemic
Dursun, Asiye; Kaplan, Yılmaz; Altunbaş, Tuğçe; Bahtiyar, Muhammed
The COVID-19 pandemic that has impinged upon the world affects individuals not only physically but also psychologically. Considering the effects of the pandemic that can be called a challenging life event, the concept of psychological resilience comes to mind. In this study, the effect of multidimensional avoidance on the relationship between psychological resilience and psychological need satisfaction-frustration of adults is discussed through structural equation modeling. The study data were collected online from 506 adults who participated voluntarily from 7 different geographical regions of Turkey. The study findings were obtained by using correlation analysis, structural equation modeling, and path analysis. As a result of the study, it is seen that all the variables of multidimensional avoidance except distraction/suppression and frustration directly affect psychological resilience in satisfaction and frustration of basic psychological needs. In addition, it shows that psychological resilience has a significant effect on satisfaction and frustration of basic psychological needs, both directly and indirectly through multidimensional avoidance.
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İncele - MakaleYalnız künye2024Scopus SJRQ2Combating with COPD by QiGong Physical and Mental Exercise
Kaplan Serin, Emine
Physical activity levels of patients with chronic obstructive pulmonary disease (COPD) are low due to the symptoms of COPD. The patients diagnosed with COPD are headed for complementary and alternative treatments to reduce the COPD symptoms, facilitate the treatment, and increase their physical activity. One of these treatments is QiGong, which is not yet common in our country. QiGong is a type of exercise based on ancient Chinese medicine, and mainly consists of active and passive exercises. These exercises open energy channels in the body, and thus prevent and/or heal diseases by establishing energy balance in the body through meditation, breath control, and bodily exercises. According to a literature review abroad, there are a small number of scientific studies related the therapeutic effect of QiGong exercises on symptom control, anxiety, reduction of stress and depression, increase in physical activity and quality of life, and the development of lung function of patients with COPD. By considering the educative role of nurses, it is important that the nurse has adequate knowledge of the treatment and care of patients with COPD. Therefore, this review is compiled to be informative about the effects of QiGong in the treatment of COPD, and assistance to subsequent studies.
AtıfScopus4WoS4İncele - MakaleYalnız künye2024Scopus SJRQ3On the Construction of a Semiparametric Family of Bivariate Copulas Using the Opposite Diagonal Section of Copulas
Susam, Selim Orhun; Chesneau, Christophe
In this article, a new semiparametric family of bivariate copulas is proposed and studied. The copulas of this family innovate in their construction; they are based on an original univariate generating function involving the opposite diagonal section of intermediary copulas. Several of their crucial properties are examined. In the practical part, we use them to estimate the reliability parameter in a stress-strength-dependent setting, including an estimation approach based on the Bernstein copula. Finally, their applicability and good performance are confirmed using a data set related to the logarithmic concentrations of two chemical elements in water samples.
AtıfScopus1WoS1OpenAlex1İncele - Kitap BölümüYalnız künye2024Digital marketing and customer experience strategy: Leveraging digital channels for marketing and customer engagement
Cevher, Muhammed Fatih
This study examines the importance of using digital channels in increasing marketing and customer loyalty by addressing digital marketing and customer experience strategies. The rapid development of the digital age obliges businesses to focus on digital marketing methods and develop strategies to improve customer experience. In the introduction part of the study, digital marketing and customer experience issues are briefly mentioned, and the current situation analysis is made. After the introduction, the previous studies on the subject are examined under the title of a literature review. Then, it explains the concept of digital marketing and explains some digital marketing strategies. In the next stage, the customer journey and customer experience were examined and then focused on the digital customer experience. In the last part of the study, the digital marketing and customer experience strategy has been summarized, and the importance of digital channels in customer loyalty has been pointed out.
AtıfScopus7İncele - MakaleAçık Erişim2024Scopus SJRQ1Determination of oxidative stress responses caused by aluminum oxide (γ-Al2O3 and α-Al2O3) nanoparticles in Gammarus pulex
Serdar, Osman; Aydin, Ayşe Nur; Çimen, Isıl Canan Çiçek
The rapid growth in the use of aluminum oxide nanoparticles (Al2O3 NPs) in various fields such as medicine, pharmacy, cosmetics industries and engineering, and the fact that these NPs and their wastes mix with the aquatic environment and damage the aquatic ecosystem, affect the organisms in the water, enter the food chain and reach humans is a major problem is cause for concern. The aim of this study is to investigate the oxidative stress caused by two separate forms of aluminum oxide, γ-Al2O3 and α-Al2O3, in Gammarus pulex, which is a good indicator species, with biochemical parameters. For this purpose, G. pulex was exposed to different concentrations (0, 10, 20, 40 ppm) of γ-Al2O3 and α-Al2O3 separately. The experiments were carried out for 24 and 96 h by creating 3 repeated experimental groups consisting of 4 groups. For biomarker analysis, superoxide dismutase (SOD), catalase (CAT) activities and glutathione (GSH) and thiobarbituric acid (TBARS) levels were performed using an ELISA kit. As a result of the in experimental study, it was observed that both nanoparticles affected oxidative stress and antioxidant parameters after 96 h compared to the control group. Increases in SOD activity were observed, γ-Al2O3 caused a decrease in CAT activity at 24 h, and α- Al2O3 caused increases in CAT activity at 96 h. Decreases in GSH levels and increases in TBARS levels have been observed.
AtıfScopus14OpenAlex14İncele - MakaleAçık Erişim2024Scopus SJRQ1Assessment of toxicity and oxidative stress induced by rare earth oxide nanoparticles in brine shrimp (Artemia salina)
Unal, Ilkay; Erturk Gurkan, Selin; Aydogdu, Burcu
This study meticulously explored the oxidative stress effects induced by lanthanum (III) oxide (La2O3), erbium (III) oxide (Er2O3), and yttrium (III) oxide (Y2O3) nanoparticles on Artemia salina, with the objective of evaluating the environmental toxicity of rare earth oxide nanoparticles. The characterization of the nanoparticles was conducted using a suite of advanced techniques, including X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), transmission electron microscopy (TEM), dynamic light scattering (DLS), and zeta potential analysis. Artemia salina, a widely recognized model organism in ecotoxicological research, was exposed to these nanoparticles under meticulously controlled laboratory conditions. The investigation focused on quantifying oxidative stress markers, such as reduced glutathione (GSH), malondialdehyde (MDA), and antioxidant enzymes including catalase (CAT), superoxide dismutase (SOD), and glutathione-S-transferase (GST). The findings revealed significant alterations in these biomarkers, indicating nanoparticle-induced oxidative stress, which varied according to the type of nanoparticle and the duration of exposure.
AtıfScopus9OpenAlex9İncele - MakaleAçık Erişim2024Scopus SJRQ4Effect of Sperm Extender and Dilution Ratio on the Sperm Motility, Fertility, and Hatching Rates of Depik Fish Rasbora Tawarensis (Pisces: Cyprinidae) Eggs
Muchlisin, Zainal Abidin; Aldila, Dhea Febby; Sarah, Putri Inten; Eriani, Kartini; Hasri, Iwan; Fadli, Nur; Muhammadar, Abdullah Abbas; Handayani, Luvi Syafrida; Maulida, Siti; Siti-Azizah, Mohd Nor
There is no known artificial breeding method for depik fish Rasbora tawarensis. Sperm extender and the dilution ratio are crucial factors in the artificial breeding of fish. The current study aimed to assess the effect of several common fish sperm extenders and its dilution ratio on sperm characteristics and fertilization of depik fish eggs. Two series of experiments were performed to find the best extender and its dilution ratio. In the first experiment, five types of extenders were tested: Ringer's solution, physiological solution, coconut water, sugarcane water, and roomie water. The second experiment studied four dilution levels of sperm and extender (v/v): 1:20, 1:30, 1:40, and 1:50. Every treatment was conducted in four replicates and the experiments were conducted consequently so that the findings in the first experiment were applied in the second. The first experiment showed that Ringer's is the best extender for depik sperm with sperm motility, fertilization and hatching rates of 71.00%, 69.30%, and 53.66%, respectively; and the second experiment revealed that Ringer's at dilution ratio 1:40 gave higher sperm motility, fertilization, and hatching rates of 74.66, 70.33, and 59.00%, respectively. In conclusion, Ringer's solution was the most favorable extender for sperm which yielded best fertilization results at 1:40 dilution ratio (sperm:extender, v/v) in depik fish.
AtıfScopus1WoS1OpenAlex1İncele - MakaleYalnız künye2024Scopus SJRQ2New national and regional bryophyte records, 79
Ellis, L.T.; Alataş, M.; Ali, Sk. N.; Alvarez, D.J.; Aponte Rojas, A.M.; Atwood, J.J.; Batan, N.; Bednarek-Ochyra, H.; Cano, M.J.; Cimerman, Ž. L.
AtıfScopus6OpenAlex6İncele - MakaleAçık Erişim2024Scopus SJRQ1Evaluation of antioxidant, antimicrobial, and bioactive properties and peptide sequence composition of Malatya apricot kernels
Aydın, Çağlar Mert; Çelikbıçak, Ömür; Hayaloğlu, Ali Adnan
BACKGROUND: This study used four different apricot (Prunus armeniaca) kernels cultivated in Malatya during two consecutive years. The varieties were Hacihaliloglu, Hasanbey, Kabaasi, and Zerdali. The physicochemical properties of the kernels were determined, and the bioactive content of the kernels was evaluated using kernel hydrolysates prepared using trypsin. RESULTS: With regard to the physicochemical properties of the kernels, the dry matter ratio and protein content were the highest in the Hacihaliloglu variety; the ash ratio was the highest in the Kabaasi variety, and the free oil ratio was the highest in the Hasanbey variety. The bioactive compound content changed according to kernel variety. Angiotensin-converting enzyme inhibitors activity was found to be the highest in the Hacihaliloglu and Hasanbey varieties, which had the lowest amygdalin content, and Zerdali had the highest amygdalin content. The antioxidant and antimicrobial effects of the kernels varied, with Hasanbey and Kabaasi generally having the highest content in both analyses. Moreover, a concentration of 20 mg mL−1 of the hydrolysate was determined to have a destructive effect for the microorganisms used in this study. The storage protein of the kernels, except Hacihaliloglu, was found to be Prunin 1, with the longest matching protein chain in the kernels being R.QQQGGQLMANGLEETFCSLRLK.E. CONCLUSION: The results suggest that the peptide sequences identified in the kernels could have antihypertensive, antioxidative, and Dipeptidyl peptidase IV (DPP-IV) inhibitory effects. Consequently, apricot kernels show potential for use in the production of functional food products. Of the kernels evaluated in this study, Hacihaliloglu and Hasanbey were deemed the most suitable varieties due to their higher bioactive content and lower amygdalin content.
AtıfScopus13WoS11OpenAlex12İncele - MakaleYayıncıda açık erişim2024Scopus SJRQ3Fastener and rail surface defects detection with deep learning techniques
Yilmazer, Merve; Karakose, Mehmet
The railways, which are frequently used by countries for both passenger and freight transportation, should be checked periodically. Controls made with classical methods are slow and there are often overlooked faults. This work suggests a novel deep learning-based technique for identifying fastener and railway track surface defects. Within the scope of the proposed method, firstly, the railroad track was observed using an autonomous drone. Shaky images in the recorded video were removed with a video stabilization algorithm. Frames were created and labeled from the video, and rail and fastener regions were detected using the Faster R-CNN deep neural network. Fault detection was performed through ResNet101v2-based classification using different datasets for identifying surface detects in rails and different datasets for the detection of fasteners. The proposed method was experimentally shown to have a 98% accuracy rate for detecting rail surface flaws and a 95% accuracy rate for detecting fastener flaws. A user interface was developed to display the identified faulty images on computers, tablets, and mobile phones via a mobile application. The system, which was previously proposed in a different study, was retrained by going through the video stabilization step, thus improving the fault detection rate, and the method was also included in the user interface module. This study contributes to the processing of ever-increasing video data with deep learning-based methods. It is also anticipated that it will benefit researchers working in the field of railway non-contact fault detection.
AtıfScopus6OpenAlex6İncele - MakaleYalnız künye2024Scopus SJRQ3Green synthesis of cobalt-oxide nanoparticles with an endemic species Allium tuncelianum and anticancer activity
Aslan Korkmaz, Şengül
The green synthesis method used to synthesize Co3O4-NPs has attracted numerous advantages due to its low cost, less time and energy consume, no need of special instruments for experimental and more eco-friendly with environment. In this study, the Co3O4-NPs were synthesized by green synthesis method to overcome the toxicity of chemical synthesis. And Allium tuncelianum plant which is an endemic species in Tunceli was used as a reducing agent and Co(NO3)2.6H2O as a source of cobalt. The synthesized Co3O4-NPs were characterized by using FTIR, XRD, SEM and HR-TEM techniques. The XRD pattern was shown that the Co-NPs were face-centered cubic (fcc) of crystalline nature and the average crystallite size was found nearly 23 nm with a value of COD(R^2): 0.982. The Co3O4-NPs generally had a spherical shape in the SEM images taken at 200 nm. The Co3O4-NPs showed low IC50 value against HeLa cells compare with RPE normal cells.
AtıfScopus7WoS10OpenAlex8İncele - MakaleYalnız künye2024Scopus SJRQ1Predicting and optimizing maximum flexural strength of planar composite plate shear walls – concrete filled with the application of LR and RSM
Polat, Erkan; Polat, Elifcan Göçmen
Traditional theoretical models, while conservative, overlook the complex, nonlinear interactions between material and geometric parameters that influence wall flexural strength. Additionally, the extent to which these models maintain their conservative assumptions across varying parameters remains uncertain. This study aims to develop advanced predictive models for the flexural strength of planar composite plate shear walls—concrete filled (C-PSW/CF) by employing Linear Regression (LR) and Response Surface Methodology (RSM). Central Composite Design (CCD) was utilized to design numerical experiments to analyze the effects of varying parameters, including steel plate yield strength, concrete compressive strength, wall depth, depth-to-thickness ratio, and reinforcement ratio. A validated complex finite element modeling (FEM) procedure was used to analyze numerical experiments involving varying parameters of the selected variables. Both LR and RSM were applied to the generated dataset to formulate predictive equations for the maximum moment capacity of walls. Interaction plots were developed to reveal the nonlinear relationships between the variables and identify the most effective parameters influencing the wall strength. Comparisons between theoretical predictions, RSM, and LR models revealed that RSM provided the most accurate predictions, closely aligning with FEM results and effectively capturing the nonlinear interactions between wall parameters. The findings of this paper contribute to the development of more practical, accurate and optimized design methods for C-PSW/CF, ultimately improving both structural safety and efficiency.
AtıfScopus10WoS8OpenAlex10İncele - MakaleYalnız künye2024Scopus SJRQ2The Relationship Between Compassion Fatigue and Professional Self-Concept in Psychiatric Nurses
Durmaz, Hatice; Karakaş, Sibel Asi; Erçel, Şeyda
The current study examined the relationship between compassion fatigue and professional self-concept in psychiatric nurses. Participants included 156 nurses working in a mental health and disorders hospital in Turkey. Data were collected via a sociodemographics form, the Compassion Fatigue subscale of the Professional Quality of Life Scale, and Professional Self-Concept Scale. Participants exhibited low levels of compassion fatigue and high levels of professional self-concept. A significant negative relationship was found between participants’ mean compassion fatigue scores and mean professional satisfaction, professional competence, and professional self-concept scores (p < 0.05). Professional satisfaction, professional competence, and professional self-concept decreased with increasing compassion fatigue. Nurses should be provided emotional support through in-service training and effective communication to prevent burnout.
AtıfScopus4WoS4İncele - MakaleYalnız künye2024Scopus SJRQ2Maxillary sinus detection on cone beam computed tomography images using ResNet and Swin Transformer-based UNet
Çelebi, Adalet; Imak, Andaç; Üzen, Hüseyin; Budak, Ümit; Türkoğlu, Muammer; Hanbay, Davut; Şengür, Abdulkadir
Objectives: This study, which uses artificial intelligence-based methods, aimed to determine the limits of pathologic conditions and infections related to the maxillary sinus in cone beam computed tomography (CBCT) images to facilitate the work of dentists. Methods: A new UNet architecture based on a state-of-the-art Swin transformer called Res-Swin-UNet was developed to detect the sinus. The encoder part of the proposed network model consists of a pre-trained ResNet architecture, and the decoder part consists of Swin transformer blocks. Swin transformers achieve powerful global context properties with self-attention mechanisms. Because the output of the Swin transformer generates sectorized features, the patch expanding layer was used in this section instead of the traditional upsampling layer. In the last layer of the decoder, sinus diagnosis was conducted through classical convolution and sigmoid function. In experimental works, we used a data set including 298 CBCT images. Results: The Res-Swin-UNet model achieved more success, with a 91.72% F1-score, 99% accuracy, and 84.71% IoU, outperforming the state-of-the-art models. Conclusions: The deep learning-based model proposed in the present study can assist dentists in automatically detecting the boundaries of pathologic conditions and infections within the maxillary sinus based on CBCT images.
AtıfScopus21OpenAlex20İncele - MakaleAçık Erişim2024Scopus SJRQ2An evaluation of societal perception of monkeypox in terms of disease anxiety and stress levels: A Turkish sample
Yeşiltepe, Akgün; Ayşe, Ç.A.L.
Objective: The purpose of this research was to examine community perception of monkeypox in terms of epidemic anxiety and stress levels. Methods: This research was performed as a descriptive, cross-sectional study. The research was conducted with 1001 individuals between September and December 2022. AMOS 24, JAMOVI, and SPSS version 25 software were employed. The data were collected using a descriptive form, the Epidemic Anxiety Scale, and the Perceived Stress Scale. Results: The mean Epidemic Anxiety Scale score was 52.47 ± 14.52, and the mean Perceived Stress Scale score was 41.88 ± 6.83. Significant positive correlation was determined between the Epidemic Anxiety Scale and the Perceived Stress Scale (r = 0.350, p =.000). A one-unit increase in perceived stress caused a 0.360 increase in epidemic anxiety (ß = 0.360). In addition, having heard of and fearing monkeypox, thinking about its ability to cause an epidemic, and perceived stress emerged as significant predictors of epidemic anxiety. Conclusion: The community was found to exhibit a moderate level of epidemic anxiety and a low level of perceived stress. Epidemic anxiety levels increased in line with perceived stress levels. We recommend that individuals in need receive support by determining epidemic anxiety and perceived stress levels in the community.
AtıfScopus1WoS1OpenAlex1İncele - MakaleAçık Erişim2024Scopus SJRQ3The Effect of Earthquakes on International Trade: The Example of the 6 February 2023 Kahramanmaras Earthquakes; [Depremlerin Uluslararasi Ticaret Üzerine Etkisi: 6 Şubat 2023 Kahramanmaraş Depremleri Örneǧi]
Ates, Erdem
On February 6, 2023, two earthquakes occurred in Kahramanmaraş province, which are among the largest earthquakes in the history of Türkiye. The purpose of the study is to determine how these earthquakes affected the exports and imports of the region. In the study, export and import data of Türkiye and 11 provinces declared as earthquake zones were used monthly for the period from January 2021 to December 2023. In the study, the foreign trade data of the region were first examined descriptively and then with the Bai and Perron test to determine whether the earthquake caused a structural break. As a result, it was determined that the earthquakes caused a structural break in both exports and imports. After the earthquakes, exports quickly returned to their pre-earthquake levels, but a similar recovery was not observed in imports.
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